Enhancement of information seeking using an information needs radar model
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Information seeking is easier when user needs are considered in the information architecture.
“Specifically, information seeking is easier when user needs are considered in the information architecture [60], suggesting the guidelines could be designed as roleoriented.”
From AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities (2024) · cites this paper as [60]
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AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities
Wu, C., Zhang, H., & Carroll, J. M. (2024) · Future Internet · doi:10.3390/fi16100354 · Cited by 99 · see citing works
“Specifically, information seeking is easier when user needs are considered in the information architecture (Shih et al. 2012), suggesting the guidelines could be designed as role-oriented.”
- Authors
- Shih, C.-W., Chen, M.-Y., Chu, H.-C., & Chen, Y.-M.
- Affiliations
- National Cheng Kung University (TW)
- Industrial Technology Research Institute (TW)
- National University of Tainan (TW)
- ORCID
- Chen, Yuh-Min
- Venue
- Information Processing & Management
- Publisher
- Elsevier BV
- Published
- 2012-05
- Volume
- 48
- Issue
- 3
- Pages
- 524-536
- ISSN
- 0020-0271 (ISSN-L)
- 0306-4573
- OpenAlex
- W1992049268
- Cited by
- 12
- References
- 39
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2022: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2016: 1 · 2015: 1 · 2013: 2 · 2012: 1
- FWCI
- 2.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Processing & Management (publishedVersion)
- Funders
- National Science Council
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Data Mining
- Keywords
- information seeking, information needs, information filtering, recommender systems, expert systems, user loyalty
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